EmbSpatialBench
Models answer multiple-choice questions on six spatial relations between objects in egocentric embodied scenes. Scored by accuracy.
- Made by
- Fudan University
- Released
- June 2024
- Kind
- Spatial reasoning and counting
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- All public
- Strongest model tested
-
Qwen3.5 397B-A17B #77 on the capability index
- Last in a launch post
- May 2026, dropped after it saturated
- Last model added
- June 2026
In the authors’ words
The recent rapid development of Large Vision-Language Models (LVLMs) has indicated their potential for embodied tasks.However, the critical skill of spatial understanding in embodied environments has not been thoroughly evaluated, leaving the gap between current LVLMs and qualified embodied intelligence unknown. Therefore, we construct EmbSpatial-Bench, a benchmark for evaluating embodied spatial understanding of LVLMs.The benchmark is automatically derived from embodied scenes and covers 6 spatial relationships from an egocentric perspective.Experiments expose the insufficient capacity of current LVLMs (even GPT-4V). We further present EmbSpatial-SFT, an instruction-tuning dataset designed to improve LVLMs' embodied spatial understanding.
Qwen3.5-Omni-Plus leads with 85.4% among models released by June 2026
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in June 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 85.4
Qwen3.5-Omni-Plus
- 84.6
Qwen3.6 27B
- 84.5
Qwen3.5 397B-A17B
- 84.5
Qwen3.5-27B
- 84.3
Qwen3-VL-235B-A22B
- 84.3
Qwen 3.6 35B-A3B
- 83.9
Qwen3.5-122B-A10B
- 83.4
Seed2.1 Pro
- 83.2
Keye-VL-2.0-30B-A3B
- 83.1
Qwen3.5-35B-A3B
- 83.0
Qwen3.5-9B
- 81.3
Qwen3.5-4B
- 81.0
SenseNova-SI-1.3-InternVL3-8B
- 78.4
gemini-robotics-er-1.5-preview
- 77.9
Qwen3.5-2B
- 68.6
Qwen3.5-0.8B
- 1
Qwen3.5-Omni-Plus 85.4%
- 2
Qwen3.6 27B 84.6%
- 3
Qwen3.5 397B-A17B 84.5%
- 4
Qwen3.5-27B 84.5%
- 5
Qwen3-VL-235B-A22B 84.3%
- 6
Qwen 3.6 35B-A3B 84.3%
- 7
Qwen3.5-122B-A10B 83.9%
- 8
Seed2.1 Pro 83.4%
- 9
Keye-VL-2.0-30B-A3B 83.2%
- 10
Qwen3.5-35B-A3B 83.1%
- 11
Qwen3.5-9B 83%
- 12
Qwen3.5-4B 81.3%
- 13
SenseNova-SI-1.3-InternVL3-8B 81%
- 14
gemini-robotics-er-1.5-preview 78.4%
- 15
Qwen3.5-2B 77.9%
- 16
Qwen3.5-0.8B 68.6%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 85.4% | Mar 2026 | Lab model card | |
| 2 | | 84.6% | Apr 2026 | Lab model card | |
| 3 | | 84.5% | Feb 2026 | Lab model card | |
| 4 | | 84.5% | Feb 2026 | Lab model card | |
| 5 | | 84.3% | Sep 2025 | Lab model card | |
| 6 | | 84.3% | Apr 2026 | Lab model card | |
| 7 | | 83.9% | Feb 2026 | Lab model card | |
| 8 | | 83.4% | Jun 2026 | Lab model card | |
| 9 | | 83.2% | May 2026 | Lab model card | |
| 10 | | 83.1% | Feb 2026 | Lab model card | |
| 11 | | 83% | Mar 2026 | Lab model card | |
| 12 | | 81.3% | Mar 2026 | Lab model card | |
| 13 | | 81% | Jan 2026 | Lab model card | |
| 14 | | 78.4% | Sep 2025 | Lab model card | |
| 15 | | 77.9% | Mar 2026 | Lab model card | |
| 16 | | 68.6% | Mar 2026 | Lab model card |
3 models have held number one in labs’ own numbers since its release in June 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Qwen’s own number for Qwen3.5-Omni-Plus passed 85% in March 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in May 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| May 25, 2026 | 83.2 | EmbSpatialBench | |
| Apr 22, 2026 | 84.6 | EmbSpatialBench | |
| Apr 15, 2026 | 84.3 | EmbSpatialBench | |
| Mar 30, 2026 | 85.4 | EmbSpatialBench | |
| Mar 2, 2026 | 68.6 | EmbSpatialBench 68.6/54.6 (with CI / without CI) | |
| Mar 2, 2026 | 77.9 | EmbSpatialBench 77.9/66.4 (with CI / without CI) | |
| Mar 2, 2026 | 81.3 | EmbSpatialBench | |
| Mar 2, 2026 | 83 | EmbSpatialBench | |
| Feb 24, 2026 | 83.1 | EmbSpatialBench | |
| Feb 24, 2026 | 84.5 | EmbSpatialBench | |
| Feb 24, 2026 | 83.9 | EmbSpatialBench | |
| Feb 16, 2026 | 84.5 | EmbSpatialBench | |
| Jan 8, 2026 | 81 | EmbSpatial-Bench | |
| Sep 23, 2025 | 84.3 | EmbSpatialBench |
5 system cards report it, from 4 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jun 23, 2026 | | 83.4 | EmbSpatialBench (Table 9) | Capabilities |
| Jun 9, 2026 | | 83.2 | EmbSpatialBench (Figure 5, printed value) | Capabilities |
| Apr 17, 2026 | | 85.4 | EmbSpatialBench (Table 6) | Capabilities |
| Nov 26, 2025 | | 84.3 | EmbSpatialBench (Table 2) | Capabilities |
| Sep 25, 2025 | | 78.4 | EmbSpatial (Table 19, thinking on). Thinking off 73.4 | Capabilities |
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